AgentGuard

Monitors agent file access, API calls, and communications to detect suspicious behavior, log events, and generate actionable security reports.

AgentGuard - Security Monitoring Skill

Version: 1.0.0
Author: Manas AI
Category: Security & Monitoring

Overview

AgentGuard is a comprehensive security monitoring skill that watches over agent operations, detecting suspicious behavior, logging communications, and providing actionable security reports.

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Capabilities

1. File Access Monitoring

Track all file read/write operations with pattern analysis.

Trigger: Continuous background monitoring
Command: agentguard monitor files [--watch-dir <path>]

What it detects:

• Unusual file access patterns (bulk reads, sensitive directories)
• Access to credential files (.env, .secrets, keys)
• Unexpected write operations to system directories
• File exfiltration attempts (large reads followed by network calls)

2. API Call Detection

Monitor outbound API calls for suspicious activity.

Command: agentguard monitor api

What it detects:

• Calls to unknown/untrusted endpoints
• Unusual API call frequency (rate anomalies)
• Sensitive data in request payloads
• Authentication token exposure
• Calls to known malicious domains

3. Communication Logging

Log all external communications for audit trails.

Command: agentguard log comms [--output <path>]

Logs include:

• HTTP/HTTPS requests (sanitized)
• WebSocket connections
• Email sends
• Message platform outputs (Telegram, Discord, etc.)
• Timestamp, destination, payload hash

4. Anomaly Detection

ML-lite pattern analysis for behavioral anomalies.

Command: agentguard detect anomalies [--sensitivity <low|medium|high>]

Detection methods:

• Baseline deviation (learns normal patterns)
• Time-of-day anomalies
• Sequence analysis (unusual operation chains)
• Volume spikes
• New destination detection

5. Security Reports

Generate comprehensive daily security reports.

Command: agentguard report [--period <daily|weekly|monthly>]

Report includes:

• Activity summary
• Alert breakdown by severity
• Top accessed resources
• Communication destinations
• Anomaly timeline
• Recommendations

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Configuration

Config File: config/agentguard.yaml

yaml

monitoring:
  enabled: true
  file_watch_dirs:
    - ~/clawd
    - ~/.clawdbot
  exclude_patterns:
    - "*.log"
    - "node_modules/**"
    - ".git/**"

alerts:
  sensitivity: medium  # low, medium, high
  channels:
    - telegram
  alert_on:
    - credential_access
    - bulk_file_read
    - unknown_api_endpoint
    - data_exfiltration
  cooldown_minutes: 15

api_monitoring:
  trusted_domains:
    - api.anthropic.com
    - api.openai.com
    - api.telegram.org
    - api.elevenlabs.io
  block_on_suspicious: false  # true = prevent call, false = alert only

logging:
  retention_days: 30
  log_dir: ~/.agentguard/logs
  hash_sensitive_data: true

reporting:
  auto_daily_report: true
  report_time: "09:00"
  report_channel: telegram

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Usage Examples

Start Full Monitoring

text

agentguard start

Enables all monitoring features with default config.

Check Current Security Status

text

agentguard status

Returns current threat level, active monitors, recent alerts.

Investigate Specific Activity

text

agentguard investigate --timerange "last 2 hours" --type file_access

Generate Immediate Report

text

agentguard report --now

Review Alert History

text

agentguard alerts --last 24h --severity high

Whitelist a Domain

text

agentguard trust add api.newservice.com --reason "Required for X integration"

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Alert Severity Levels

Level	Color	Meaning	Example
INFO	🔵	Normal logged activity	File read in workspace
LOW	🟢	Minor deviation	Slightly elevated API calls
MEDIUM	🟡	Notable anomaly	Access to .env file
HIGH	🟠	Potential threat	Bulk credential access
CRITICAL	🔴	Immediate action needed	Data exfiltration pattern

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Integration Points

With Clawdbot

• Receives file/API operation hooks
• Sends alerts via configured channels
• Integrates with heartbeat for periodic checks

With Other Skills

• Shares threat data with other security skills
• Can block operations (if configured)
• Provides audit logs for compliance skills

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Data Storage

text

~/.agentguard/
├── logs/
│   ├── file_access/
│   ├── api_calls/
│   └── communications/
├── baselines/
│   └── behavior_model.json
├── alerts/
│   └── YYYY-MM-DD.json
└── reports/
    └── YYYY-MM-DD_report.md

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Privacy & Security

• No external data transmission - All processing is local
• Sensitive data hashing - Credentials are never logged in plain text
• Configurable retention - Auto-delete old logs
• Encrypted storage - Optional AES encryption for logs

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Troubleshooting

High false positive rate

→ Increase baseline learning period or reduce sensitivity

Missing file events

→ Check file_watch_dirs config covers target directories

Reports not generating

→ Verify report_time format and timezone settings

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Execution Scripts

Script	Purpose
execution/monitor.py	Core monitoring daemon
execution/detector.py	Anomaly detection engine
execution/logger.py	Structured logging handler
execution/alerter.py	Alert dispatch system
execution/reporter.py	Report generation

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Author Notes

AgentGuard is designed with defense-in-depth principles. It assumes agents can be compromised or manipulated, and provides visibility into their operations.

For maximum security, run AgentGuard in a separate process with limited write access to prevent a compromised agent from disabling monitoring.